Results 231 to 240 of about 122,093 (281)

Planar faults in Aurivillius compounds: An X-ray diffraction study

Philosophical Magazine A, 2002
Abstract Layered bismuth-containing perovskites are known to be subject to complex structural imperfections such as planar faults. A careful analysis of X-ray powder diffraction lines of the Aurivillius compound SrBi2Nb2O9 shows that stacking faults are located along the c axis and (hk0) reflections are thus unaffected by faulting.
A. Boulle, C. Legrand, R. Guinebretiè, J. P. Mercurio, A. Dauger   +4 more
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Stacking fault energy and ionicity of cubic III–V compounds

Physica Status Solidi (a), 1978
Using weak beam electron microscopy the stacking fault energy (SFE) of III-V compounds is determined by measuring the dissociation width of edge dislocations. The SFE corrected for the lattice parameters is given in meV/atom for GaAs, GaP, GaSb, InAs, InP, and InSb. As expected there is a strong correlation of the SFE with the ionicity of the bond. The
H . Gottschalk, G. Patzeb, H. Alexander
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Regulators faulted for inadequate compounding pharmacy oversight

American Journal of Health-System Pharmacy, 2013
D uring hearings in November, Congress faulted lapses in state and federal oversight of pharmacy compounding that might have contributed to the meningitis outbreak associated with allegedly tainted drugs produced by the New England Compounding Center (NECC) of Framingham, Massachusetts ...
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Imaging of polytypes and stacking faults in tetrahedral compounds

Acta Crystallographica Section A Foundations of Crystallography, 1983
The resolution attained with a JEOL 200CX electron microscope in top-entry configuration has allowed the direct elucidation of the structure of tetrahedrally bonded compounds. Computer simulation methods were used to calculate through-focus series of images at a range of thicknesses and the conditions for which structural features are interpretable on ...
A. F. Moodie, H. J. Whitfield
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Compound fault prediction of rolling bearing using multimedia data

Multimedia Tools and Applications, 2017
Catastrophic failure of mechanical systems due to faults occurring on rolling bearing is still a great challenge. These faults, which are of multiple type, are compounded in nature. Vibration analysis of multimedia signals is one of the most effective techniques for the health monitoring of these bearings.
Sandip Kumar Singh, Sandeep Kumar, J. P. Dwivedi   +2 more
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A novel compound neural network for fault sources recognition

2010 International Conference on Computer Application and System Modeling (ICCASM 2010), 2010
Independent component analysis (ICA) is a powerful tool for redundancy reduction and nongaussian data analysis. And, artificial neural network (ANN), especially the self-organizing map (SOM) based on unsupervised learning is a kind of excellent method for pattern clustering and recognition. By combining ICA with ANN, a novel compound neural network for
null Jiao Weidong, null Qian Suxiang, null Lin Peng, null Ma Zewen, null Yuan Qingping   +4 more
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Stacking-fault tetrahedra in ion-implanted III-V compounds

Proceedings, annual meeting, Electron Microscopy Society of America, 1987
The implantation of heavy ions into GaAs for the purpose of obtaining a shallow n-type layer has been studied in detail, The results obtained by Rutherford Backscattering and high-resolution electron microscopy show that the surface layer is amorphized during implantation and that the solid-phase epitactic regrowth gives rise to a surface layer ...
B.C. De Cooman, S. McKeman, C.B. Carter
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A zero-shot fault semantics learning model for compound fault diagnosis

Expert Systems with Applications, 2023
Juan Xu, Shaokang Liang, Xu Ding, Ruqiang Yan   +3 more
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A novel compound fault diagnosis method using intrinsic component filtering

Measurement Science and Technology, 2020
Abstract: Compound fault diagnosis of gearbox, which can prevent breakdown accidents and minimize production loss, has become a hotspot and challenge. In practical application, the early fault signal is weak and often concealed by environmental noise. Therefore, how to to separate different fault components from the signals with weak faults and strong ...
Zongzhen Zhang, Shunming Li, Yu Xin, Huijie Ma   +3 more
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Fault feature selection for the identification of compound gear-bearing faults using firefly algorithm

The International Journal of Advanced Manufacturing Technology, 2023
Andrews Athisayam, Manisekar Kondal
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